23BAT615 – ARTIFICIAL INTELLIGENCE FOR MANAGERS

About Course

This course introduces MBA students to the fundamentals and managerial applications of Artificial Intelligence in modern business environments. It focuses on how AI-driven tools support decision-making, improve operational efficiency, and enable innovation across industries. Students will explore concepts such as machine learning, data analytics, automation, and ethical considerations in AI adoption. The course also emphasizes real-world case studies, enabling learners to connect theory with practice. By the end, students will be equipped to understand, evaluate, and implement AI strategies effectively in managerial roles, enhancing organizational performance and competitive advantage.

Course Content

UNIT-I – TECHNOLOGY OVERVIEW AND FUNDAMENTALS
Introduction to AI & ML Technologies/ Applications - Understanding the Technology Landscape - Tools & Platforms for organisations to deploy AI & ML solutions - Importance of Data (where to find it, how to store, manipulate, and attribute it) - Statistical Foundations - Storytelling with Data Visualisation Techniques.

UNIT-II – UNBOXING ML AND ITS APPLICATIONS
Introduction to Machine Learning - Supervised Learning - Unsupervised Learning - Ensemble Techniques - Recommendation Systems - Reinforcement Learning – Application of Machine Learning.

UNIT-III – UNBOXING AI AND ITS APPLICATIONS
Linear Regression – Logistic regression – Decision Tree – random forest - KNN - Neural Networks - Deep Learning & Visualisation – NLP - Text Analytics (Sentiment Analysis, Social Media Analytics)

UNIT-IV – AI & ML FOR BUSINESS EXCELLENCE
Digital Transformation with AI & ML - Creating an AI & ML Strategy for your organisation (Link to strategic goals, business model fit, ROI, success measure, data requirements) - Implementation and Change Management Considerations - Applications of AI & ML in (Marketing, Sales, Finance, Operations, Supply Chain & Human Resources) - Data Governance, Legal and Ethical Issues Future of AI & ML in business

UNIT-V – FRAMEWORKS FOR DELIVERING AI SOLUTIONS
Visualisation techniques - Importance of Context - Lessons in Story telling - Usage of Data to influence decisions -Basic Visualisation Skill

Student Ratings & Reviews

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About Course

Course Content

UNIT-II – UNBOXING ML AND ITS APPLICATIONS Introduction to Machine Learning - Supervised Learning - Unsupervised Learning - Ensemble Techniques - Recommendation Systems - Reinforcement Learning – Application of Machine Learning.

UNIT-III – UNBOXING AI AND ITS APPLICATIONS Linear Regression – Logistic regression – Decision Tree – random forest - KNN - Neural Networks - Deep Learning & Visualisation – NLP - Text Analytics (Sentiment Analysis, Social Media Analytics)

UNIT-V – FRAMEWORKS FOR DELIVERING AI SOLUTIONS Visualisation techniques - Importance of Context - Lessons in Story telling - Usage of Data to influence decisions -Basic Visualisation Skill

Student Ratings & Reviews

UNIT-II – UNBOXING ML AND ITS APPLICATIONS
Introduction to Machine Learning - Supervised Learning - Unsupervised Learning - Ensemble Techniques - Recommendation Systems - Reinforcement Learning – Application of Machine Learning.

UNIT-III – UNBOXING AI AND ITS APPLICATIONS
Linear Regression – Logistic regression – Decision Tree – random forest - KNN - Neural Networks - Deep Learning & Visualisation – NLP - Text Analytics (Sentiment Analysis, Social Media Analytics)

UNIT-V – FRAMEWORKS FOR DELIVERING AI SOLUTIONS
Visualisation techniques - Importance of Context - Lessons in Story telling - Usage of Data to influence decisions -Basic Visualisation Skill